The Hebrew University Logo
Syllabus INTRODUCTION TO PROBABILITY AND STAT FOR CS B - 52006
עברית
Print
 
close window close
PDF version
Last update 25-10-2016
HU Credits: 4

Degree/Cycle: 1st degree (Bachelor)

Responsible Department: statistics

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: E. Safra

Course/Module Coordinator: Prof. Offer Kella

Coordinator Email: offer.kella@gmail.com

Coordinator Office Hours: By appointment

Teaching Staff:
Prof Offer Kella
Mr. Royi Jacobovic

Course/Module description:
This course is a continuation of the course
"INTRODUCTION TO PROBABILITY AND STAT FOR CS A". In this course we will learn more details about the topics in probability that were introduced in the firs course and learn new topics such as study central topics such as the multivariate normal distribution and limit theorems. You will also practice basic terms in statistics.

Course/Module aims:
The goal of the course is to learn cenral topics in
Probability and Statistics and provide the needed background for advanced courses in statistics.

Learning outcomes - On successful completion of this module, students should be able to:
1. To quote and apply the definitions that were presented in the course.
2. To restore independently the proofs of the claims that were stated in the course.
3. To describe at least 1 example in the context of any claim.

Attendance requirements(%):
No attendance requirement

Teaching arrangement and method of instruction: The methodical material of the course will be presented weekly in the
form of class lectures.
The lectures will be accompany by practical lessons and weekly exercises. During the course we will holde several in-class examinations.

Course/Module Content:
1. Marginal and joint distributions: Definitions and basic properties. The moment generating function. The distribution of a transformation.

2. Multivariate distribution and statistics: Estimation, confidence intervals, testing hypotheses.

3. The multi-normal distribution: Definitions and properties, linear transformations, conditional distribution, projections.

4. Introduction to limit theorems: Convergence in distribution and in probability. The Law of Large Numbers and the Central Limit Theorem. The delta method.

Required Reading:
Class notes, if and when given.

Additional Reading Material:

Course/Module evaluation:
End of year written/oral examination 60 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 40 %
Other 0 %

Additional information:
There are 4 parts in the course. At the end of each part there will be an in-class examination. The examination will include a single question in the structure of the questions for the final examination. The dates of the in-class examinations will be announced in advance. The score of an in-class examination will form 10% of the final score.
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
Print